Fast sequential Monte Carlo methods for counting and optimization:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hoboken, New Jersey
John Wiley & Sons, Inc.
[2013]
|
| Series: | Wiley series in probability and statistics
|
| Subjects: | |
| Online Access: | FRO01 UBG01 Volltext Buchcover |
| Item Description: | Includes bibliographical references and index This book presents the first comprehensive account of fast sequential Monte Carlo (SMC) methods for counting and optimization at an exceptionally accessible level. Written by authorities in the field, it places great emphasis on cross-entropy, minimum cross-entropy, splitting, and stochastic enumeration. The overall aim is to make SMC methods accessible to readers who want to apply and to accentuate the unifying and novel mathematical ideas behind SMC in their future studies or work |
| Physical Description: | 1 Online-Ressource |
| ISBN: | 9781118612354 1118612353 9781118612316 1118612310 9781118612378 111861237X 9781118612323 1118612329 9781306118422 1306118425 1118612264 |
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Record in the Search Index
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| id | DE-604.BV043395844 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:24:50Z |
| institution | BVB |
| isbn | 9781118612354 1118612353 9781118612316 1118612310 9781118612378 111861237X 9781118612323 1118612329 9781306118422 1306118425 1118612264 |
| language | English |
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| spelling | Rubinstein, Reuven Y. Verfasser aut Fast sequential Monte Carlo methods for counting and optimization Reuven Rubinstein, Faculty of Industrial Engineering and Management, Technion, Israel Institute of Technology, Haifa, Israel, Ad Ridder, Department of Econometrics and Operations Research, Vrije University, Amsterdam, Netherlands, Radislav Vaisman, Faculty of Industrial Engineering and Management, Technion, Israel Institute of Technology, Haifa, Israel Hoboken, New Jersey John Wiley & Sons, Inc. [2013] 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Wiley series in probability and statistics Includes bibliographical references and index This book presents the first comprehensive account of fast sequential Monte Carlo (SMC) methods for counting and optimization at an exceptionally accessible level. Written by authorities in the field, it places great emphasis on cross-entropy, minimum cross-entropy, splitting, and stochastic enumeration. The overall aim is to make SMC methods accessible to readers who want to apply and to accentuate the unifying and novel mathematical ideas behind SMC in their future studies or work MATHEMATICS / Numerical Analysis bisacsh Mathematical optimization fast Monte Carlo method fast Sequentielle Monte-Carlo-Methode gnd Optimierung gnd Monte Carlo method Mathematical optimization Monte-Carlo-Simulation (DE-588)4240945-7 gnd rswk-swf Electronic books Monte-Carlo-Simulation (DE-588)4240945-7 s 1\p DE-604 Ridder, Ad Sonstige oth Vaisman, Radislav Sonstige oth Erscheint auch als Druck-Ausgabe, Hardcover 978-1-118-61226-2 https://onlinelibrary.wiley.com/doi/book/10.1002/9781118612323 Verlag URL des Erstveröffentlichers Volltext SWB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028814428&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Buchcover 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Rubinstein, Reuven Y. Fast sequential Monte Carlo methods for counting and optimization MATHEMATICS / Numerical Analysis bisacsh Mathematical optimization fast Monte Carlo method fast Sequentielle Monte-Carlo-Methode gnd Optimierung gnd Monte Carlo method Mathematical optimization Monte-Carlo-Simulation (DE-588)4240945-7 gnd |
| subject_GND | (DE-588)4240945-7 |
| title | Fast sequential Monte Carlo methods for counting and optimization |
| title_auth | Fast sequential Monte Carlo methods for counting and optimization |
| title_exact_search | Fast sequential Monte Carlo methods for counting and optimization |
| title_full | Fast sequential Monte Carlo methods for counting and optimization Reuven Rubinstein, Faculty of Industrial Engineering and Management, Technion, Israel Institute of Technology, Haifa, Israel, Ad Ridder, Department of Econometrics and Operations Research, Vrije University, Amsterdam, Netherlands, Radislav Vaisman, Faculty of Industrial Engineering and Management, Technion, Israel Institute of Technology, Haifa, Israel |
| title_fullStr | Fast sequential Monte Carlo methods for counting and optimization Reuven Rubinstein, Faculty of Industrial Engineering and Management, Technion, Israel Institute of Technology, Haifa, Israel, Ad Ridder, Department of Econometrics and Operations Research, Vrije University, Amsterdam, Netherlands, Radislav Vaisman, Faculty of Industrial Engineering and Management, Technion, Israel Institute of Technology, Haifa, Israel |
| title_full_unstemmed | Fast sequential Monte Carlo methods for counting and optimization Reuven Rubinstein, Faculty of Industrial Engineering and Management, Technion, Israel Institute of Technology, Haifa, Israel, Ad Ridder, Department of Econometrics and Operations Research, Vrije University, Amsterdam, Netherlands, Radislav Vaisman, Faculty of Industrial Engineering and Management, Technion, Israel Institute of Technology, Haifa, Israel |
| title_short | Fast sequential Monte Carlo methods for counting and optimization |
| title_sort | fast sequential monte carlo methods for counting and optimization |
| topic | MATHEMATICS / Numerical Analysis bisacsh Mathematical optimization fast Monte Carlo method fast Sequentielle Monte-Carlo-Methode gnd Optimierung gnd Monte Carlo method Mathematical optimization Monte-Carlo-Simulation (DE-588)4240945-7 gnd |
| topic_facet | MATHEMATICS / Numerical Analysis Mathematical optimization Monte Carlo method Sequentielle Monte-Carlo-Methode Optimierung Monte-Carlo-Simulation |
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